Population coding in sparsely connected networks of noisy neurons

scientific article published on 7 May 2012

Population coding in sparsely connected networks of noisy neurons is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/ficn/TrippO12
P356DOI10.3389/FNCOM.2012.00023
P932PMC publication ID3345527
P698PubMed publication ID22586391
P5875ResearchGate publication ID224959013

P2093author name stringBryan P Tripp
Jeff Orchard
P2860cites workA quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex.Q52082152
Vector reconstruction from firing rates.Q52375858
Primate motor cortex and free arm movements to visual targets in three- dimensional space. I. Relations between single cell discharge and direction of movementQ55060707
Visual topography of striate projection zone (MT) in posterior superior temporal sulcus of the macaqueQ70977847
Highly nonrandom features of synaptic connectivity in local cortical circuitsQ21090236
Collective dynamics of 'small-world' networksQ27861064
Normalization as a canonical neural computationQ28253709
Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientationQ28275102
A synaptic organizing principle for cortical neuronal groupsQ30499294
Functional dissection of circuitry in a neural integratorQ33577348
Information processing with population codesQ34185524
Neuronal population coding of movement directionQ34189387
Response properties and receptive fields of cells in an anatomically defined region of the superior temporal sulcus in the monkeyQ34226155
Misperceptions of speed are accounted for by the responses of neurons in macaque cortical area MTQ34781213
Dendritic spines linearize the summation of excitatory potentialsQ35214791
Neurogeometry and potential synaptic connectivityQ36151317
Simple models for reading neuronal population codesQ36671081
Estimates of the contribution of single neurons to perception depend on timescale and noise correlationQ37250926
Extracting information from neuronal populations: information theory and decoding approachesQ37396807
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about TimeQ39063278
Visual processing in monkey extrastriate cortexQ39594248
A network of tufted layer 5 pyramidal neuronsQ41580286
Model for a robust neural integratorQ44074352
Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cellQ44386914
Excitatory cortical neurons form fine-scale functional networksQ45281385
The analysis of visual motion: a comparison of neuronal and psychophysical performanceQ46446679
Representation of sensory information in the cricket cercal sensory system. II. Information theoretic calculation of system accuracy and optimal tuning-curve widths of four primary interneuronsQ46637741
Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivityQ46750396
Cells responding to changing image size and disparity in the cortex of the rhesus monkeyQ47355326
Dynamics of the hippocampal ensemble code for spaceQ48232012
A general framework for neurobiological modeling: an application to the vestibular systemQ48311870
Coding of horizontal disparity and velocity by MT neurons in the alert macaqueQ48392935
Dynamics of neuronal responses in macaque MT and VIP during motion detectionQ48483025
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.Q48703721
Decorrelation of spiking variability and improved information transfer through feedforward divisive normalizationQ48782924
A unified approach to building and controlling spiking attractor networks.Q51462169
Efficient computation and cue integration with noisy population codes.Q51642792
Solving the problem of negative synaptic weights in cortical models.Q51894057
P304page(s)23
P577publication date2012-05-07
P1433published inFrontiers in Computational NeuroscienceQ15817583
P1476titlePopulation coding in sparsely connected networks of noisy neurons
P478volume6

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Q47733486Surrogate population models for large-scale neural simulationscites workP2860

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